Run object detection, image classification and video analysis on an NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture). GPU servers are not orderable yet; contact us to be notified when they are.
$ pip install ultralytics && yolo detect predict model=yolov8x.pt source=image.jpg device=0
# Example install command
Computer vision on a GPU server runs object detection, classification, segmentation and video analysis models on the GPU instead of the CPU.
Run YOLO and other detectors on the GPU.
Use an OpenCV build with CUDA modules for GPU image processing.
Process high-resolution images in larger batches.
Decode with NVDEC and analyze several streams on one GPU.
Computer Vision can use an NVIDIA GPU to speed up its work. VPS.org GPU servers are not available to order yet; contact us to hear when they are. Computer Vision is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Computer Vision.
GPU servers are not available to order yet. Today you can run Computer Vision on a regular CPU plan, where it works far more slowly than on a GPU: SSH in and run pip install ultralytics && yolo detect predict model=yolov8x.pt source=image.jpg device=0.
VRAM needs for Computer Vision depend on the model and batch size; check the project documentation for current figures.
GPU pricing will be published when GPU servers can be ordered. Contact us if you want to hear when that happens.
Yes. Every VPS.org server comes with full root access, so you can run other tools alongside Computer Vision within the server's RAM and storage.
Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and Computer Vision however you need.
No. No server comes with a CUDA runtime or NVIDIA driver preinstalled, and GPU servers are not available to order yet. You install the versions Computer Vision needs yourself.
Yes. VPS.org servers are persistent virtual machines, not ephemeral instances: Computer Vision models, configs and data stay on the server's SSD storage until you delete them.
Keep working data on the server's SSD for fast access during Computer Vision runs, and copy finished artifacts (weights, generations, embeddings) to storage outside VPS.org; snapshots and backups stay on the same storage cluster.
You can upgrade any VPS.org server to a larger plan from the control panel; the resize restarts it and your Computer Vision install carries over. GPU servers are not available yet.
Yes. Backups are a paid add-on (daily +30% of the plan price, kept 7 days; weekly +20%, kept 28 days) and snapshots are free, which is useful before long Computer Vision runs. Both stay on the same storage cluster as the server.
Contact support within 30 days of your first purchase to request a refund. GPU servers are not sold yet, so no GPU order is involved.
GPU servers are not orderable yet. Tell us about your workload and we will let you know when they are.